10 Widely Used Data Science and Machine Learning Tools In 2020 - PowerPoint PPT Presentation

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10 Widely Used Data Science and Machine Learning Tools In 2020

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Data Science vs. Machine Learning. At its core, data science is a field of study that aims to use a scientific approach to extract meaning and insights from data. Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data. – PowerPoint PPT presentation

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Title: 10 Widely Used Data Science and Machine Learning Tools In 2020


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  • Session 1

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  • Data Science and Machine Learning have become one
    of the leading technologies that have impacted
    the way things work and business operations. The
    growing demand for data science experts and
    machine learning experts indicate that these
    technologies are making their way into our lives.
    Whether you are a data science beginner or a
    proficient professional, upskilling your sled is
    imperative, and there are different ways to do
    the same. In this blog, we will cover 10 data
    science and machine learning (5 each) tools that
    will help you become an expert in this domain.

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Top 10 machine learning and data science tools

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Five machine learning tools
  • Scikit-learn- This tool is written in Python and
    provides a library for the Python programming
    language. It helps with data analysis and data
    mining. This tool also provides models and
    algorithms for classification, clustering,
    dimensional reduction, model selection, and
    pre-processing.
  • PyTorch- The next tool in our list is PyTorch. It
    is a torch based machine learning library. Torch
    is a Lua based computing framework and scripting
    language. It helps in building a neural network
    using the Autograde module. It can be used on
    Cloud platforms. Also, PyTorch provides
    distributed training and various tools for
    building neural networks. Also, it is easy to use.

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  • 3. TensorFlow- This machine learning tool
    provides JavaScript that helps in machine
    learning. It also helps in building and training
    the modules. You can also run your existing
    models using TensorFlow.js. The latter helps in
    model conversion. TensorFlow can be used by
    script tags or by installing NPM.
  • 4. Weka- This tool helps in data mining. Some of
    the key features of this tool are that it helps
    in data preparation, classification, clustering,
    regression, and visualization. Besides, you can
    also find online courses for training. Weka has
    easy to understand algorithms. If you are a data
    science beginner, then this tool is good for you.

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  • 5. KNIME- This tool is used for reporting, data
    analytics, and integration. It combines the
    different components of machine learning and data
    mining. This tool can integrate the code of
    programming languages like Java, C, C,
    JavaScript, R, and Python. It finds application
    in financial data analysis, CRM, and business
    intelligence.

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Five tools for data science
  • 1. RapidMiner- This tool is used to develop
    software for real data science. It is faster and
    easier. This is an extremely fast platform that
    brings together different processes like data
    preparation, machine learning, and model
    deployment. It has more than 1500 functions like
    built-in templates and repeatable workflows. It
    is used for enterprise solutions.
  • 2. Apache Spark- It is the most used data science
    tool. It has various APIs that motivates Data
    Sciences to make rehashed access to data for
    Machine Learning, Storage SQL, and others. It can
    perform faster than MapReduce. It also has many
    APIs that help the data scientists make an
    accurate forecast with the available data.

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  • 3. MySQL- This is an open-source RDBMS. There are
    different approaches to store the information,
    but the database is considered to be the most
    helpful one. It is easily accessible and offers
    better analysis. The user can collect, clean and
    visualize the data with MySQL. 
  • 4. DataRobot- It offers a machine learning
    platform that helps build and implement
    predictive models in less time. It works by
    improving the speed of predictive analytics. It
    enables flexible deployment, governance, and
    offers world-class support.

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  • 5. BigML- Another popular tool that is used by
    data scientists across the globe is the BigML. It
    is an integrative, cloud-based GUI which is used
    for processing Machine Learning Algorithms. It is
    used for cloud computing. One of the best
    features of BigML is that it is easy to use
    web-interface, and you can use it for free. So,
    if you are beginning your data science and
    machine learning journey, then you must learn
    about BigML. If you have to use it to analyze a
    higher volume of data, you can opt for a premium
    account. BigML has interactive visualizations of
    data, and it also enables the user to send the
    visual graphs on mobile and other IoT gadgets.

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  • These were some of the popular tools used by data
    science experts and machine learning experts.
    Most of these tools are free of cost and are easy
    to understand. If you are starting to learn about
    these concepts or you want to become an expert in
    the field of data science and machine learning,
    having in-depth knowledge about these tools is a
    must.

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Conclusion
  • Global Tech Council is a renowned name when it
    comes to choosing a platform that offers a
    holistic learning experience. If you pick up a
    data science certification course or a machine
    learning training program, you will learn about
    all the latest tools and technologies that will
    help you master this domain. This data science
    certificate online program makes it easy for you
    to learn it as and when you want.
  • In the times to come, we are going to witness a
    growing demand for data science and machine
    learning experts. To become a part of this
    growing bandwagon, these certification programs,
    along with knowledge of the additional skill, are
    a must.

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